中国电力 ›› 2015, Vol. 48 ›› Issue (6): 20-25.DOI: 10.11930.2015.6.20

• 风光储专栏 • 上一篇    下一篇

利用大用户直接消纳风电的利益均衡优化模型

张晨,陈坤,谭忠富,董安有   

  1. 华北电力大学 能源经济与环境研究所,北京 102206
  • 收稿日期:2015-03-14 出版日期:2015-06-25 发布日期:2015-11-26
  • 作者简介:张晨(1988—),女,黑龙江大庆,博士研究生,主要从事新能源方面的研究。E-mail: xiaoxiao_886292@163.com
  • 基金资助:
    This work is supported by the Fundamental Research Funds for the Central Universities (2015XS44).

Optimization Model of Wind Power Accommodation for Interest-Balancing with Large Consumer

ZHANG Chen, CHEN Kun, TAN Zhongfu, DONG Anyou   

  1. North China Electric Power University, Institute of energy, economic and environment, Beijing 102206, China
  • Received:2015-03-14 Online:2015-06-25 Published:2015-11-26
  • Contact: 中央高校基本科研业务费专项资金资助项目(2015XS44)

摘要: 中国风电存在严重弃风问题,风力资源的地理分布与电力负载之间并不匹配。大用户在电力负荷中占有较大比例,可通过调整大用户生产计划来实现风电的消纳。首先以风电消纳发电量最大为目标建立调度优化模型,分析了大用户与风电联合调度下,风电场和大用户在合作和不合作情况下的盈利情况。由于大用户风电联合调度,导致大用户在夜间作业降低了生产效率,增加生产成本,为鼓励大用户参与风电消纳的积极性,建立了以风电与大用户的效益最大化为目标的调度模型,根据大用户的经济损失进行经济补偿。

关键词: 大用户, 风电消纳, 经济补偿, 优化模型

Abstract: China’s wind power is mainly distributed in West China which is far away from the load center. Large scale wind power accommodation would be confronted with problems related to power supply connection and electric power consumption. Large power consumers occupy a large proportion in power load. Wind power can be accommodated by adjusting production plan of large consumers. An optimization model is first established with the goal of maximizing wind power accommodation. With the joint dispatching of wind power and large consumer, profitability analysis of both sides is performed under two different scenarios: with and without cooperation. Large consumer’s productivity is reduced during night hence cost is increased. In order to encourage large consumer participates in wind power accommodation, a dispatching model is built with the goal of maximizing the benefits of both sides. The production loss of large consumer can be compensated from wind power generation in the model.

Key words: large consumer, wind power accommodation, economic compensation, optimization model

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